Case Study: Locunity boosts reliability and scaling with Render

Locunity processes 31,000 jobs a month with Render

Locunity, a civic intelligence company, faced critical reliability issues with their AI-powered pipeline on Railway. Their platform, which processes government meeting data into actionable intelligence, was experiencing weekly downtime and a persistent problem where jobs ran on stale code after deployments, risking the delivery of incorrect information to their enterprise clients.

By migrating to Render, Locunity decoupled its pipeline into five discrete services, which immediately resolved the stale code issue and provided inherent reliability. The switch also resulted in a significant performance boost, with page load times dropping from four seconds to under one second. This allows the two-person team to confidently scale towards their goal of monitoring 10,000 jurisdictions, as Render handles the backend infrastructure management.

Locunity